Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4534#issuecomment-73965544
Hmph. I think we might could work around this if `runJob` didn't have to
return an `Array`, but it does. Even if it collects its results in another
collection it has to get copied to an `Array`. I think that's where this runs
into the mismatch between these Scala types and JVMs and arrays and covariance
every way I can see.
All of these are fairly artificial cases. An empty RDD or partition of a
normal type works fine. I think it's worth making the `EmptyRDD` change to take
care of the `Seq()` case, and treating the rest as just how it is with Scala
and arrays and these types and the current API.
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